R Observatory: Metrics for finetune version 1.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

finetune

1.3.0Package record

Additional Functions for Model Tuning

2packages dependsuggested by 3

46.4Kdownloads / year

84.4%test coverage

13/13flavors OK

Overview

About

Maintained by Max KuhnCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Posit Software, PBC

The ability to tune models is important. 'finetune' enhances the 'tune' package by providing more specialized methods for finding reasonable values of model tuning parameters. Two racing methods described by Kuhn (2014) doi:10.48550/arXiv.1405.6974 are included. An iterative search method using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986) doi:10.1080/00401706.1986.10488128 is also included.

Changes in 1.3.0

A bug was fixed where NULL results generated during simulated annealing would cause errors when logging.
Input checks now provide more informative error messages for invalid arguments (#79).
When calculating resampling estimates, the tune package can now use a weighted mean based on the number of rows in the assessment set. finetune was updated to preserve those weights during racing (#135).

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("finetune", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("tidymodels/finetune")

Development version from tidymodels/finetune. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-finetune

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-finetune

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-finetune

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-26

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.0

READMEYes · 267 wordsVignettesNoNEWSYes · 100% structured · mentions 1.3.0Citation fileNoWebsiteYes · pkgdown

Help pages: 9 (1 internal)includes a package overview page
Examples that run: 40%2 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 83%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 33%

How these are measured

Downloads

46.4K

CRAN downloads in the past year

Rank #2,184 · ~127/day · ~3.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.7K30 days

8K90 days

46.4K1 year

Compare downloads with other packages →

Also on230 r2u1 autocran1K conda_forge

How downloads are counted

Repository

tidymodels/finetune ↗Organization: tidymodels

65Stars

14Forks

9Open issues

1Open PRs

9Releases

234Commits

15Commit identities

234 commits · Last activity 2026-09-17 · 0% stars, 30d · Default branch at 1.3.0.9000, ahead of CRAN 1.3.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 10
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-09-19 · 632026-07-07 · 65

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/tidymodels/finetune on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Code of conduct

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-17 · The repository has a site deploy workflow

pkgdown site last built 2026-04-19

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 2 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (3)

AirVS CodeRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-03-20
Seen in the repository: .claude, .claude/skills
Named in .Rbuildignore: .claude

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

26 external dependencies (excludes base and recommended)

Installing finetune adds 93 packages (45 with compiled code, 73 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)

R >= 4.1tune

Imports (13)

cli dials dplyr ggplot2 parsnip (>= 1.1.0)purrr rlang tibble tidyr tidyselectutilsvctrs workflows

LinkingTo (0)

none

Suggests (14)

BradleyTerry2 covr discrim kknn klaR lme4 modeldata ranger recipesrpartrsample spelling testthat yardstick

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Suggested by 3

Depends, Imports or LinkingTo, most downloaded first

fastml mrIML

Suggests, most downloaded first

workflowsets shinymodels kerasnip

How these are counted

Code & Tests

People & History

People (2)

Max Kuhn

Author, Maintainer since 0.0.1 (2020)

Posit Software, PBC

Copyright holder, Funder · added in 1.1.0

Listed in earlier versions (1)

RStudio

no longer listed · 0.0.1 to 1.0.1

Releases (10)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.3.0Latest
record
2026-04-18 · current release · diff ↗
1.2.1
record
2025-05-20 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.2.0
record
2024-03-21 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.0
record
2023-04-19 · diff ↗
1.0.1
record
2022-10-12 · diff ↗
1.0.0
record
2022-09-06 · diff ↗
R
R 4.2.0 released · 2022-04-22
unarchivedReturned to CRAN
2022-03-24
0.2.0
record
2022-03-24 · diff ↗
archivedRemoved from CRAN
2022-03-23
check problems were not corrected in time
0.1.1
record
2022-02-21 · diff ↗ ·
removed 2 exports
obj_sum.tune_race, size_sum.tune_race
0.1.0
record
2021-07-21 · diff ↗ ·
added 2 exports
obj_sum.tune_race, size_sum.tune_race

Show 3 earlier eventsHide 3 earlier events

R
R 4.1.0 released · 2021-05-18
0.0.1
record
2020-11-20
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-11-20
Total releases: 10 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Download size: 135 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("finetune")

Format

Kuhn, M., & Posit Software, PBC. (2026). finetune: Additional Functions for Model Tuning (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.finetune

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for finetune version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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